# Copyright (C) 2022. Huawei Technologies Co., Ltd. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.

import os
from pathlib import Path

from smarts.sstudio import gen_scenario
from smarts.sstudio.sstypes import (
    Mission,
    RandomRoute,
    Route,
    Scenario,
    SocialAgentActor,
)


def gen_actors(id_):
    return [
        SocialAgentActor(
            name=f"non-interactive-agent-50-v0_{id_}",
            agent_locator="zoo.policies:non-interactive-agent-v0",
            policy_kwargs={"speed": 50},
        )
    ]


def to_missions(agent_num):
    missions = {}
    for i in range(0, agent_num):
        missions[f"group-{i}"] = tuple(
            (gen_actors(i), [Mission(route=RandomRoute())]),
        )
    return missions


gen_scenario(
    Scenario(social_agent_missions=to_missions(10)),
    output_dir=Path(__file__).parent,
)
